These neural networks know what they’re doing
A certain type of artificial intelligence agent can learn the cause-and-effect basis of a navigation task during training.
Thriving Stars: An initiative to improve gender representation in electrical engineering and computer science
MIT EECS unveils a new effort to encourage and support women on their journey to — and through — graduate study in computing and information technologies.
Deep learning helps predict traffic crashes before they happen
A deep model was trained on historical crash data, road maps, satellite imagery, and GPS to enable high-resolution crash maps that could lead to safer roads.
Making data visualizations more accessible
Researchers find blind and sighted readers have sharply different takes on what content is most useful to include in a chart caption.
Enabling AI-driven health advances without sacrificing patient privacy
Secure AI Labs, founded by alumna Anne Kim and MIT Professor Manolis Kellis, anonymizes data for AI researchers.
Seven from MIT receive National Institutes of Health awards for 2021
Awards support high-risk, high-reward biomedical and behavioral research.
3 Questions: Kalyan Veeramachaneni on hurdles preventing fully automated machine learning
Researchers hope more user-friendly machine-learning systems will enable nonexperts to analyze big data — but can such systems ever be completely autonomous?
A robot that finds lost items
This robotic arm fuses data from a camera and antenna to locate and retrieve items, even if they are buried under a pile.
Artificial intelligence is smart, but does it play well with others?
Humans find AI to be a frustrating teammate when playing a cooperative game together, posing challenges for "teaming intelligence," study shows.
Budding coders create apps aimed at real-world impact
MIT App Inventor’s “Appathon” joins programmers from around the world to imagine a better future and start building it one app at a time.
MIT brings Campaign for a Better World to a successful finish
The effort raised more than $6 billion to spark innovation on global challenges.
Using AI and old reports to understand new medical images
Scientists employ an underused resource — radiology reports that accompany medical images — to improve the interpretive abilities of machine learning algorithms.
Deep learning helps predict new drug combinations to fight Covid-19
Neural network identifies synergistic drug blends for treating viruses like SARS-CoV-2.
Toward a smarter electronic health record
An AI-enhanced system enables doctors to spend less time searching for clinical information and more time treating patients.
Making health and motion sensing devices more personal
An electrical impedance tomography toolkit lets users design and fabricate health and motion sensing devices.